Autumn School 2017: New Data Horizon
This Autumn School 2017 focuses on the integration of biological and social science data, with the expertise of Understanding Society. It covers topics such as ethics, social media research, users' views, the NatCen panel, and transforming the Census. It also provides practical and methodological challenges to participants. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
1. Unlock the Exciting World of Learning! Here's What Awaits You: Autumn School 2017: New Data Horizon offers learners the opportunity to explore the integration of biological and social science data, as well as the expertise of Understanding Society.
2. Learners can gain an understanding of the ethical considerations of social media research, users' views, and the development of the NatCen panel. They can also explore the transformation of the Census, practical aspects and methodological challenges in research using linked data, and address-based online surveying.
3. Additionally, learners can gain insight into the changing nature of and innovation in surveys, online data sources, and the combination of social science and molecular genetic research. With this course, learners can gain the knowledge and skills to stay ahead of the curve in the ever-evolving world of data.
[Applications]
After completing Autumn School 2017: New Data Horizon, participants will be able to apply their knowledge to a variety of research projects. They will be able to integrate biological and social science data, understand the ethical implications of social media research, and develop NatCen panels. They will also be able to transform the Census, address practical aspects and methodological challenges in research using linked data, and combine social science and molecular genetic research. Additionally, they will be able to explore online data sources, linking old and new, big and small.
[Career Paths]
1. Data Scientist: Data Scientists are responsible for analyzing large amounts of data and using it to develop insights and strategies for businesses. They use a variety of tools and techniques to uncover trends and patterns in data, and then use this information to inform decisions and strategies. With the increasing availability of data, the demand for Data Scientists is growing rapidly.
2. Data Analyst: Data Analysts are responsible for collecting, organizing, and analyzing data to identify trends and patterns. They use a variety of tools and techniques to uncover insights from data, and then use this information to inform decisions and strategies. With the increasing availability of data, the demand for Data Analysts is growing rapidly.
3. Data Engineer: Data Engineers are responsible for designing, building, and maintaining data systems. They use a variety of tools and techniques to create data pipelines, databases, and data warehouses. With the increasing availability of data, the demand for Data Engineers is growing rapidly.
4. Social Media Researcher: Social Media Researchers are responsible for analyzing social media data to uncover insights and trends. They use a variety of tools and techniques to uncover insights from social media data, and then use this information to inform decisions and strategies. With the increasing availability of social media data, the demand for Social Media Researchers is growing rapidly.
Course Provider
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